HW3-drafting-viz
Description
I plan to pursue option 2 for HW #4. My research question has changed to the following:
How does potential supply and demand of green hydrogen fuel in 2030 vary across space in California?
Within this overarching question, I will answer the following questions using my infographic components:
What is the spatial distribution of potential green hydrogen supply and demand for hydrogen fuel from the transportation sector in 2030?
How does potential supply and demand for hydrogen fuel compare within and between regions in 2030? Will individual regions be able to produce enough supply to meet local demand amounts?
Will individual counties in Southern California be able to produce enough supply to meet local demand amounts in 2030? Which counties will be net importers or net exporters of hydrogen fuel?
I have decided to include data from my MESM Group Project (GP) for this assignment. I have used output data from our GP that contains the following variables:
demand_h2_kg_d, which is the amount of hydrogen in kg per day that will be demanded at each projected demand location. These values correspond to point geometries for potential hydrogen re-fueling stations that were developed through a comprehensive study by the UC Davis Institute of Transportation Studies (Fulton et al. 2023).supply_h2_kg_d, which is the amount of hydrogen in kg per day that can be produced through wind- or solar-powered electrolysis. These values correspond to point geometries that my GP team developed by identifying renewable resource potential, excluding area unsuitable for renewable development, and siting electrolyzer (hydrogen production technology) facilities through an optimization model.
I aggregated these two variables into county and regional totals for plotting purposes by spatially joining the data with county geometries from the US Census Bureau.
Visualization Resources
Below are two visualizations I might borrow from for this assignment.
The first is a visualization created by Cedric Scherer that I found here. I like the layout of this visualization and the use of annotations alongside the visuals. I also like that he colored certain words and used color on the plots to emphasize them. I may adapt from his code to figure out how to size the graphics, add annotations, etc.
The second is a visualization created by Dan Oehm that I found here. I like how he annotated with text and may borrow from his code to understand how to add and position annotations. He also used patchwork, included custom fonts, and labeled histogram bars, which I would like to do for one of my figures as well.
Draft Infographic
Here is a rough drawing of the infographic I would like to make. The actual layout of the subplots and text will probably change based on what the components look like after being coded.